code: def conv3x3(in_channel, out_channel, stride=1, conv_weight_attr=None):
      return nn.Conv2D(
          in_channel,
          out_channel,
          kernel_size=3,
          stride=stride,
          padding=1,
          weight_attr=conv_weight_attr,
          bias_attr=False,
      )
  
file_path: PaddleOCR/ppocr/modeling/backbones/rec_resnet_31.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: conv3x3(in_channel, out_channel, stride, conv_weight_attr) and returns: nn